Mark E. Maynard
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Traumatic Brain Injury and Neurovascular Disturbances
Papers in
-
- Neurogenesis and neuroplasticity mechanisms 4
- Anesthesia and Neurotoxicity Research 2
-
- Neuroscience and Neuropharmacology Research 4
- Neurotransmitter Receptor Influence on Behavior 1
- Co-authors
- J. Leigh Leasure (5 shared papers)Pramod K. Dash (9 shared papers)John B. Redell (9 shared papers)Nobuhide Kobori (6 shared papers)Kimberly N. Hood (8 shared papers)Jing Zhao (5 shared papers)Anthony N. Moore (6 shared papers)M. Neal Waxham (2 shared papers)
- Journals
- Experimental Neurology (3 papers)Journal of Neurotrauma (2 papers)Scientific Reports (2 papers)eNeuro (1 paper)Neuroscience (1 paper)
- Partner nations
- United StatesEgypt
In The Last Decade
Mark E. Maynard
16 papers receiving 349 citations
Peers
Comparison fields: 5 of 65
- Developmental Neuroscience 57
- Neurology 89
- Biological Psychiatry 22
- Behavioral Neuroscience 21
- Neurology 71
Countries citing papers authored by Mark E. Maynard
This map shows the geographic impact of Mark E. Maynard's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark E. Maynard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark E. Maynard more than expected).
Fields of papers citing papers by Mark E. Maynard
This network shows the impact of papers produced by Mark E. Maynard. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark E. Maynard. The network helps show where Mark E. Maynard may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark E. Maynard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 57 | |
| 2 | 2020 | 52 | |
| 3 | 2013 | 43 | |
| 4 | 2020 | 38 | |
| 5 | 2024 | 33 | |
| 6 | 2018 | 31 | |
| 7 | 2019 | 25 | |
| 8 | 2019 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2023 | 12 | |
| 11 | 2016 | 12 | |
| 12 | 2020 | 7 | |
| 13 | 2018 | 7 | |
| 14 | 2021 | 4 | |
| 15 | 2015 | 3 | |
| 16 | 2021 | 2 |
About Mark E. Maynard
Mark E. Maynard is a scholar working on Developmental Neuroscience, Cellular and Molecular Neuroscience, Neurology, Physiology and Cognitive Neuroscience, having authored 16 papers that have together received 353 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Neurogenesis and neuroplasticity mechanisms (4 papers), Adipose Tissue and Metabolism (3 papers), Memory and Neural Mechanisms (3 papers), Mitochondrial Function and Pathology (2 papers), Anesthesia and Neurotoxicity Research (2 papers), Parkinson's Disease Mechanisms and Treatments (1 paper) and Neurotransmitter Receptor Influence on Behavior (1 paper). The work is most often cited by research in Developmental Neuroscience (57 citations), Neurology (89 citations), Biological Psychiatry (22 citations), Behavioral Neuroscience (21 citations) and Neurology (71 citations). Mark E. Maynard has collaborated with scholars based in United States and Egypt. Frequent co-authors include J. Leigh Leasure, Pramod K. Dash, John B. Redell, Nobuhide Kobori, Kimberly N. Hood, Jing Zhao, Anthony N. Moore, M. Neal Waxham, Badrinath Roysam and Michael J. Hylin. Their work appears in journals such as Experimental Neurology, Journal of Neurotrauma, Scientific Reports, eNeuro and Neuroscience.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.